As AI continues to redefine how students search for and engage with academic programs, marketers are rethinking how they track, measure, and optimize online visibility.
Three members of the Search Influence leadership team (Will Scott, Paula French, and Jeanne Lobman) will present and moderate sessions on how institutions can:
Adapt to generative AI search
Integrate data-driven marketing channels
Create more credible, student-focused content
Together, these sessions will help higher ed marketers translate data into decisions and strengthen visibility in the age of AI search.
Search Influence Sessions at MEMS 2025
“Are You Showing Up? How to Track Visibility in AI Search”
Presenter: Will Scott, CEO and Co-Founder, Search Influence
Time: Wednesday, December 3 – 10:00 a.m.
AI search is no longer theoretical. It’s measurable. In this session, Will will show institutions how to connect generative search visibility to real data and use it to drive recruitment strategy.
Session Highlights:
Learn how to measure your institution’s presence across AI platforms like ChatGPT, Gemini, and Perplexity.
Discover how to segment AI-driven traffic using Google Analytics 4 and Looker Studio.
Identify metrics and tools that help you evaluate AI visibility and performance.
“How to Optimize for AI Search: What Students Trust & What Marketers Must Do”
Presenter: Paula French, Director of Sales and Marketing, Search Influence
Co-Presenter: Emily West, Senior Market Research Analyst, UPCEA
Time: Wednesday, December 3 – 3:30 p.m.
Nearly half of prospective students now use AI tools weekly, and 79% read AI-generated summaries. In their presentation, Paula and Emily will translate this data into concrete next steps for marketing teams ready to compete in generative search.
Understand what prospective students trust in AI-generated results.
Learn a three-part framework for AI visibility: discoverability, credibility, and content optimization.
“From Search to Success: Integrating SEO and Email Marketing to Drive Enrollment”
Moderator: Jeanne Lobman, Director of Operations, Search Influence
Panelists: Tim Grenda and Caitlin Dimalanta, San Diego State University
Time: Tuesday, December 2 – 2:45 p.m.
Students don’t stop searching once they find a program. They start evaluating how institutions communicate. This session will explore how connecting SEO insights with email marketing creates a continuous, student-centered experience that strengthens engagement and drives enrollment.
Session Highlights:
Explore how integrated SEO and email strategies guide students from search discovery to enrollment.
Learn how coordinated messaging increases engagement and conversion.
“Boosting SEO and Engagement Through Testimonial-Driven Web Content”
Moderator: Paula French, Director of Sales and Marketing, Search Influence
Panelists: Caitlin Wilson and Krysten Cole, Boston University Metropolitan College
Time: Thursday, December 4 – 10:00 a.m.
Authenticity has become one of higher education’s strongest differentiators. This session will examine how testimonial-driven storytelling can improve SEO performance, strengthen brand trust, and create more meaningful engagement with prospective students.
Session Highlights:
Understand the importance of authentic student and alumni testimonials in building credibility and enhancing visibility.
Learn how to turn stories into measurable content assets that support recruitment goals.
Explore how to connect storytelling with keywords and SEO strategies for stronger search performance.
About MEMS
Hosted by the Online and Professional Education Association (UPCEA), the MEMS Conference brings together enrollment and marketing professionals from across the country to share strategies that connect innovation with measurable results.
Now in its 34th year, the event will focus on emerging technology, shifting student expectations, and the evolving ways higher education institutions can reach, recruit, and retain learners.
Throughout the conference, Search Influence will host a booth where attendees can learn how to assess their institution’s AI visibility, explore AI SEO tools, and request a complimentary AI Website Grader developed by Will. Our team will be available to discuss real-world applications of AI-driven marketing data and how colleges can start improving their presence across generative platforms.
Continuing the Conversation
As AI search evolves, understanding how visibility, trust, and data intersect has never been more important.
AI search content optimization means structuring your content so AI systems can easily interpret, retrieve, and cite it in AI-generated answers.
Traditional SEO remains the foundation — clean site structure, structured data, and authority signals still drive AI visibility.
Organizing key insights, FAQs, and comparison tables makes your content easier for AI search engines to understand and surface in AI Overviews.
Writing in clear, natural language and updating regularly helps AI platforms recognize your content as accurate, relevant, and current.
Search Influence leads in AI search content optimization by helping brands structure content that both humans and AI systems can easily understand and retrieve.
Just as Frank Lloyd Wright believed buildings should grow naturally from their environment, AI-optimized content should grow naturally from meaning and structure. The future of search belongs to those who can design information that fits its landscape, where every heading, list, and table works like a carefully engineered beam.
At Search Influence, we’re the architects of AI search visibility, helping site owners and marketers craft pages that perform beautifully across AI-powered search engines.
This isn’t a theoretical guide. It’s the nuts and bolts of how to build AI-optimized content that earns citations, captures AI-generated answers, and stays visible in an evolving AI search landscape.
Why Optimizing for AI Search Matters
AI-powered search engines like Google’s AI Overviews, Perplexity, and ChatGPT don’t just rank pages; they summarize them. Instead of serving ten blue links, these AI engines generate conversational AI answers synthesized from multiple trusted sources.
That means search visibility no longer stops at position one. You need your brand’s content to be included inside the AI answer.
Click-through rates are declining as zero-click searches rise, and users are becoming increasingly satisfied with direct responses from AI platforms. If your valuable content isn’t structured for retrieval, AI systems may skip over it entirely.
Optimizing for AI search isn’t about replacing traditional SEO; it’s about building on it. Think of AI search optimization as a natural evolution: combining the best of search engine optimization, structured data, and modern AI tools to help both humans and algorithms recognize your authority.
At Search Influence, we help brands adapt their digital marketing strategies so they stay visible as AI models rewrite the rules of search behavior.
Traditional SEO Is Still the Foundation
Before you dive into AI search optimization, make sure your traditional SEO is rock-solid.
AI search engines still rely on the same crawl and ranking infrastructure as traditional search engines. If AI crawlers can’t read, index, or trust your site, no amount of clever structure will help.
Key traditional SEO best practices still matter:
Clean architecture and crawlability: Ensure internal linking is logical, pages load quickly, and site maps are up to date.
Mobile-first performance: Many AI search tools prioritize user experience metrics tied to page speed and responsiveness.
E-E-A-T signals: Add clear bylines, About pages, and author or brand context. Even a simple byline builds trust for AI engines.
Structured data: Implement schema markup for FAQs, products, or local business details. It helps search engines understand relationships between entities.
AI systems like Gemini and Perplexity still rely on traditional search engine crawlers to determine credible citations. Traditional SEO is the foundation, and AI SEO is the architecture built on top.
Creating Key Insights at the Top
The best-optimized pages start strong. Your top 200 words are prime real estate for both readers and AI search platforms.
AI models scan for concise, self-contained summaries near the top of a page to define its topic and relevance. These “vectors of meaning” determine whether your page gets cited in AI search results.
How to create effective key insights:
Write a 3–5-bullet “Key Insights” section summarizing the core takeaways (see the top of this blog!)
Use keyword-rich, natural language that mirrors user intent (think “how” and “why” phrasing.)
Keep each insight standalone. If a model were to pull that one bullet out, it should still make sense.
Include one light mention of expertise or authority (e.g., “Based on Search Influence’s experience optimizing higher-ed sites for AI visibility…”)
Pro Tip: Treat key insights like metadata in human language — short, factual, and extractable. AI systems interpret them as anchors for what your page means. More AI SEO pro tips here.
Building a Machine-Readable Table of Contents
Think of your table of contents as a blueprint that helps both humans and AI search engines navigate your page.
Just as a building’s floor plan shows how rooms connect, a well-structured TOC tells AI crawlers where each topic begins and ends. This improves comprehension, organization, and retrievability.
How to do it right:
Use jump-linked headings (<a href=”#section-name”>) or your CMS’s automatic TOC generator.
Reflect natural search queries in each heading — e.g., “How to Optimize for AI Search” rather than “Optimization Overview.”
Keep heading hierarchy consistent (H2 → H3 → H4).
Use descriptive, not vague language.
Add ItemList schema markup around the TOC for extra machine clarity.
A good TOC tells AI engines how the story flows and helps your content appear in multiple passage-level citations within AI-generated responses.
Writing a Semantic Triple Intro
A semantic triple intro is a concise statement that defines your topic in the format of subject + predicate + object.
Example: “AI search content optimization is the process of structuring web content so it can be easily retrieved, summarized, and cited by AI-driven search engines.”
This tiny sentence packs a big SEO punch. It clearly tells AI systems what your page is about before anything else.
Why it matters:
AI engines convert text into numerical “embeddings.” The first few sentences shape your page’s meaning signature.
A strong semantic triple reduces ambiguity and helps your content rank for related natural language queries.
How to do it:
Use your main keyword naturally.
Define what it is and what it does.
Follow with a quick credibility line (e.g., “At Search Influence, we help businesses earn visibility in AI-generated answers.”)
Avoid filler like “In today’s world…” — it wastes your most valuable context window.
Chunk Content for AI Retrieval
Psst… You wanna know a secret? AI engines don’t read like people; they retrieve by passage.
Instead of analyzing an entire web page, AI systems break text into smaller “chunks” and compare them to user queries.
Best practices for chunking:
Keep each section around 150–300 words.
Focus on one topic per chunk.
Start each with a clear claim or question, then support it with concise examples or bullet points.
Use transition phrases like “For example” or “This means” to preserve context.
End each chunk with a short takeaway sentence that restates the point (see below).
Chunking multiplies your retrieval opportunities. Each section can be surfaced as its own AI search answer.
Using FAQs to Capture Long-Tail AI Queries
If AI Overviews had a favorite format, it would be the FAQ.
Why? Because FAQs naturally mimic how people search in natural language. Each question represents a distinct user intent that AI tools can easily identify, summarize, and cite.
Why it matters:
Long-tail questions like “How do AI search results work?” align perfectly with how users phrase queries in AI-driven search and voice search.
Each Q&A acts as a self-contained data node, making your page more likely to appear in AI-generated responses.
Structured FAQs feed into the Google Knowledge Graph, improving your search visibility across generative search engines.
How to implement:
Use tools like AlsoAsked or Semrush to identify conversational long-tail questions centered around your topic.
Phrase questions naturally. Avoid stiff or keyword-stuffed wording.
Begin each answer with a semantic triple that defines the topic clearly.
Support with concise bullets, data, or short examples.
Add FAQPage schema markup so AI crawlers recognize the format.
Think of FAQs as the structural beams that make your content citation-ready. Each question builds another route to reach your audience.
Visuals, Tables, and Comparison Content
Text isn’t the only thing AI engines read. AI search platforms use tables, charts, and labeled visuals to understand relationships and compare information.
Why comparison content works:
Tables make AI-generated answers more precise. They can extract facts directly instead of summarizing loosely.
Comparison charts satisfy evaluative intent, a frequent category in AI search queries (e.g., “AI SEO vs. traditional SEO”).
Data tables strengthen embeddings by clarifying relationships between key details.
How to structure tables for AI systems:
Use real <table> tags or Markdown tables, never screenshots.
Label columns descriptively: “Traditional SEO Tactics” | “AI SEO Tactics.”
Keep it simple: 3–5 columns, 5–10 rows.
Write factual captions, not marketing fluff (e.g., “This table compares how traditional and AI-driven search optimization differ in structure and retrieval focus.”).
Include schema markup where relevant.
AI can quote directly from a well-structured table, boosting your authority in AI-powered search engines.
Writing for Humans and Machines
The best AI-optimized content reads smoothly to humans and structurally to machines.
Follow these hybrid writing rules:
Use clear, factual sentences that stand alone if excerpted.
Keep paragraphs under 120 words.
Avoid vague language. Replace “this” or “it” with clear nouns.
Add internal linking every 150–200 words to reinforce relationships between entities.
Balance narrative and structure: storytelling for people, schema for crawlers.
Remember: clarity isn’t just stylistic, it’s structural. It helps AI understand what matters.
Frame the entryway: start with a clear semantic triple.
Add the blueprint: summarize early with key insights.
Map the layout: create a TOC and structured content chunks.
Finish the details: use FAQ schema, visuals, and comparison tables.
The goal? A digital structure that humans and AI engines recognize as sound.
Search Influence helps brands design these frameworks to thrive in a world of AI-driven search and generative engine optimization.
AI Content Optimization FAQs
1. How to optimize content for AI search?
AI search content optimization is the process of structuring digital content so AI systems can retrieve, summarize, and cite it accurately.
To optimize effectively, focus on clarity, organization, and accessibility. Start by breaking your page into self-contained sections with clear H2s and H3s, ensuring each chunk of content addresses a single topic. Use structured data and schema markup to help AI crawlers interpret meaning, and reinforce relationships through strong internal linking.
Keep your content current with up-to-date examples and sources. AI platforms prioritize pages that demonstrate freshness and accuracy. The more clearly your structure communicates what each section is about, the easier it is for AI search engines to select, summarize, and cite your work in AI-generated answers.
2. How to write content for AI search?
Writing for AI search means combining clarity, structure, and contextual depth that both humans and algorithms can understand.
This approach starts with writing in natural language that reflects how people actually search using long-tail, conversational keywords that match user intent. Begin your piece with a strong semantic triple and support it with concise, fact-based explanations.
Avoid vague language, dense jargon, or keyword stuffing, which can confuse both readers and AI engines. Instead, focus on writing self-contained paragraphs that answer one question or explain one concept at a time.
The goal is to make your content easy to read, easy to reference, and easy for AI systems to understand, all while delivering genuine value to your audience. These are insights marketers can’t afford to miss.
3. What is AI search?
AI search is an intelligent system that uses language models to interpret and synthesize web information.
Unlike traditional search engines that simply match keywords, AI-powered search engines like Gemini, GPT, and Perplexity analyze meaning, relationships, and intent behind queries.
These AI models draw from multiple authoritative sources, summarizing content to deliver direct, conversational answers. Instead of serving a list of blue links, AI search engines generate synthesized overviews, making accuracy and structure more important than ever.
Understanding how AI search works helps you build content that earns citations and remains visible across this new landscape of AI-generated results.
4. How do AI search results work?
AI search results are generated by analyzing and summarizing multiple high-authority sources into one synthesized response.
When a user enters a query, AI systems identify relevant passages, or “chunks,” from indexed web content. These passages are then combined, summarized, and rewritten in natural language to provide a complete answer.
Structured, fact-based content with schema markup and clear sectioning helps AI determine what information to include and who to cite. The result is a unified, conversational overview drawn from many sites, with attribution given to the most trustworthy and clearly organized sources.
This is why creating structured, authoritative content is key to being referenced within AI-generated answers.
5. Why is AI-optimized content important now?
AI-optimized content is crucial because generative search engines prioritize structured, factual information over traditional keyword density.
As tools like Google’s AI Overviews reshape how people access information, visibility now depends on whether your content is retrievable and citable by AI systems. Instead of focusing solely on ranking position, site owners must think about inclusion in AI-generated summaries, the new “position zero.”
Structured content supported by schema markup, internal linking, and fresh data is far more likely to be featured in these overviews. Investing in AI optimization now ensures your content stays relevant and continues to attract attention even as user behavior and search technology evolve.
6. How do I know if my content is AI-optimized?
AI-optimized content demonstrates clear structure, entity consistency, and schema integration that make it retrievable by AI systems.
To evaluate your current pages, look for clear topic separation, consistent use of entities (like names, products, or locations), and properly implemented structured data.
Each section should serve a specific purpose and read well both in context and isolation. Lists, FAQs, and tables should be properly labeled and formatted for easy parsing. You can test your content’s performance in AI platforms like Perplexity or use emerging AI SEO tracking tools that monitor how your content appears in AI Overviews.
If your web pages are easily understood, cited, or summarized by AI tools, you’re on the right track toward sustainable AI visibility.
7. How often should I update my content for AI optimization?
Regular updates signal freshness, an important trust metric for AI retrieval.
AI engines and traditional search algorithms value recency because it suggests reliability. Reviewing your content quarterly helps ensure that statistics, external links, and schema markup stay accurate and relevant.
Update examples, visuals, and tables as trends evolve, and consider adding new FAQs to reflect emerging search behavior. Regular optimization also gives you an opportunity to re-chunk long sections into smaller, more focused passages that align with current AI retrieval models.
In a rapidly changing AI-driven search environment, staying up to date is not optional; it’s the difference between being cited and being invisible.
Stay Ahead With Search Influence
AI search is shaping how every Google search result is generated and displayed.
Search Influence specializes in turning traditional SEO content into AI-optimized assets that perform across every AI search platform.
Here’s how we can help you build your next competitive edge:
Audit your top pages for AI readiness, analyzing structured data, schema markup, and retrievability.
Upgrade your content architecture for the AI era.
Implement optimization strategies that strengthen traditional rankings and AI citations.
Track performance to understand how AI engines reference your brand.
Consult and educate your team on how to create comprehensive content that satisfies both search algorithms and users.
AI search is rewriting the rules of visibility, and the brands that adapt their structure now will own tomorrow’s results.
Let’s talk about how we can audit your site for AI readiness and start building your AI-optimized content framework today.
AI Visibility Tracking expands your AI SEO reporting
AI search has changed how users find your brand.
Tools like Google’s AI Overviews, ChatGPT, and Gemini deliver conversational answers that often don’t require a click to your site. Your brand visibility now extends well beyond traffic, and traditional SEO reports only tell part of the story.
This shift creates a new challenge: how do you measure and influence conversations happening in a zero-click search world?
Introducing Scrunch AI Visibility Tracking, a reporting add-on that shows how AI platforms see, describe and cite your brand across major AI engines.
Ways We’re Tracking Your AI Visibility
Search Influence expanded your current AI reporting by combining GA4 traffic insights with advanced AI visibility tracking. You can now get a complete picture of how users reach your site AND how AI represents your brand.
1. AI Traffic Report, powered by GA4
Already available in most client dashboards. See how much traffic AI tools drive to your site, plus engagement metrics and top landing pages from AI sources.
2. New & Available Now: AI Visibility Tracker, powered by Scrunch
AI Visibility Tracking moves beyond traffic and reveals how AI engines talk about your brand. You’ll see:
Prompt-level tracking across ChatGPT, Google’s AI Overviews and other major platforms
Citations and mentions across AI-generated responses
Sentiment analysis that shows how your brand is positioned in AI results
Competitive benchmarking that reveals share of voice and where competitors are winning
Insights that uncover content gaps and new citation opportunities to improve AI visibility
All Scrunch data integrates directly into your Looker Studio dashboard, so AI insights live beside your SEO performance metrics in one place.
To launch AI Visibility Tracking for your brand, our SEO team will identify 25–75 relevant AI prompts for your industry and competitors, then configure the tool with your brand details and audience data. The result is AI reporting that reflects real behavior and delivers actionable insight.
Your SEO Strategist will analyze AI Visibility data monthly, report on highlights and insights, and leverage this information to drive your AI optimization strategy.
Interested? Talk to your Account Manager about adding AI Visibility Tracking to your dashboard today.
When prospective students begin researching programs, their first stop may no longer be your website…. or even Google.
Many now use generative AI platforms like ChatGPT, Gemini, and Perplexity to ask questions, compare options, and find fast answers. These tools influence what students see, what they trust, and which institutions they choose to explore further.
Drawing on insights from the new UPCEA x Search Influence research study, AI Search in Higher Education: How Prospects Search in 2025, Paula shares a data-backed look at how students search today — and what your team can do to improve visibility across every touchpoint.
Top AI Search Trends in Higher Education
The study surveyed 760 adult learners aged 18–60 who are actively exploring educational opportunities. Their responses point to a growing reliance on digital tools that extend far beyond search engines.
50% of students use AI tools weekly
79% read Google’s AI Overviews
56% are more likely to trust institutions cited in those Overviews
61% use YouTube like a search engine
77% consider university websites to be highly trustworthy
Together, these numbers reflect a major shift in how trust is built and how options are evaluated during the early stages of the enrollment process.
How to Improve Visibility Where It Counts
Paula’s guest blog offers clear, actionable strategies for improving performance in AI and traditional search, including:
Structuring content with clarity using headings, bullet points, and schema markup
Including factual, up-to-date program details that AI tools prefer to cite
Publishing trust-building content like faculty bios, accreditation info, and student outcomes
Monitoring your presence in AI tools like ChatGPT, Gemini, and Perplexity to see what students are seeing
Auditing your site’s search performance to make sure you’re showing up where students begin their research
Students are forming impressions earlier in the decision-making process, and they’re doing it in spaces many institutions aren’t actively monitoring. That’s a missed opportunity, and one that’s becoming harder to ignore.
Attending UPCEA’s 34th Annual MEMS: Marketing, Enrollment Management, and Student Success Conference in Boston this December? Stop by the Search Influence booth to connect with Paula French, Jeanne Lobman, and Will Scott.
Paula will also co-present with Emily West of UPCEA in a featured session titled:
“How to Optimize for AI Search: What Students Trust & What Marketers Must Do” on Wednesday, December 3rd at 3:30 PM.
The discussion will dive deep into student behavior and outline a strategic approach to visibility built around the pillars of AI SEO.
This blog post was updated by Ren Horst on November 4, 2025 following the webinar event.
50% of prospective students use AI tools at least weekly to research information online. 79% read Google’s AI Overviews, and more than half say they’re more likely to trust the institutions AI cites.
These search behaviors are no longer emerging trends. They’re the new reality for enrollment marketing.
On October 23, UPCEA and Search Influence hosted the live webinar “AI Search in Higher Education: How Prospects Search in 2025,” unveiling findings from the AI Search Research Study.
The session explored what’s shaping prospective student behavior today, plus how higher ed marketers can adapt their visibility strategies for AI-driven search.
How AI Is Changing Institutional Visibility
The new research highlights a fundamental shift in how students discover, evaluate, and ultimately choose higher education programs. Traditional search engines remain important, but AI-driven platforms are shaping decisions in ways that enrollment marketers can’t ignore.
For higher ed institutions, the implications are clear: If you’re not present in AI-powered search experiences, you may be invisible to a significant portion of your prospective students.
“AI Search in Higher Education: How Prospects Search in 2025” unpacked the study findings, explained why they matter, and showed you how to position your institution for visibility in 2026 and beyond.
Key Takeaways From the Webinar
SEO then and now
Search strategy has evolved from keyword targeting to context and credibility. AI engines understand meaning through entities, relationships, and trusted citations, not just keyword density. The webinar discussed how this shift changes on-page SEO priorities, emphasizing entity optimization, structured data, and semantically rich content to help AI engines interpret institutional expertise.
Authority and content signals
Institutional visibility depends on demonstrating trust through structure, accuracy, and reputation. AI platforms prioritize content that’s organized, verifiable, and supported by credible references. The webinar explored tactics for improving these signals, like incorporating earning links, highlighting faculty expertise, and securing third-party mentions that reinforce authority beyond your own website.
Measuring AI visibility
Understanding your reach in AI search is becoming possible through emerging analytics. Tools such as Google Analytics 4, Search Console, and Scrunch can reveal AI-driven traffic, question-based visibility, and citation frequency. The webinar covered how marketers are starting to quantify AI exposure, sharing practical ways to integrate early visibility tracking into institutional reporting.
The Opportunity Ahead
AI is fundamentally changing how students search and how institutions are seen. Yet, many schools haven’t updated their strategies to reflect how AI engines surface information.
Those who act now will gain visibility in AI and Google, positioning their programs to be found, considered, and chosen.
AI-driven discovery is rewriting the rules of visibility for universities. As prospective students increasingly rely on tools like Google’s AI Overviews, ChatGPT, and Perplexity, the traditional SEO playbook is no longer enough.
The next era of visibility requires a strategy built for recognition and trust within AI ecosystems, not just rankings on search results pages.
Presentation Slides
At the 2025 AMA Symposium for the Marketing of Higher Education, Paula French, director at Search Influence, and Tara Pope, director of marketing at Tufts University College, will explain how institutions can thrive in this new environment.
Their presentation, “How to Win AI Search: Three Pillars for Success,” will be held on Tuesday,November 11, from 2:50 to 3:40 p.m. in National Harbor, Maryland.
The Evolving World of AI Search in Higher Education
56% are more likely to trust a site featured in an AI Overview.
These numbers highlight a pivotal shift. Visibility in AI search is now visibility with students.
Institutions that fail to appear in AI-generated answers risk being overlooked entirely, even before a prospective student reaches a search results page.
Inside the Framework: Three Pillars of AI SEO
In their AMA Higher Ed session, French and Pope will introduce a practical framework that helps institutions strengthen their visibility and authority within AI-generated environments.
1. Entities
AI systems interpret structured data and networked entity relationships. By using schema markup, entity-rich language, and consistent identifiers, institutions can help AI better recognize programs, faculty, and departments.
2. Semantic relevance
AI favors content that mirrors how people naturally ask questions. Structuring content in concise Q&A form, using natural language headings, and speaking clearly to student intents makes it easier for AI to parse and surface your content.
3. Citations
Trust is a currency in AI. When content is cited or linked from reputable sources (media, academic directories, “best of” lists), AI is more likely to elevate it. PR and content teams should actively integrate link building and authoritative mentions into the SEO strategy.
Together, these three pillars form the foundation of a sustainable AI SEO strategy that builds visibility across traditional and generative search experiences alike.
About the Speakers
Tara Pope serves as director of marketing at Tufts University College, where she oversees marketing and communications for a diverse portfolio of programs, including Pre-College, Professional Education, and the Osher Lifelong Learning Institute. With more than 25 years in digital marketing and communications, her career spans technology, e-commerce, and higher education.
Paula French, director at Search Influence, is a digital marketing leader with 15 years of experience helping higher education institutions enhance their online visibility and enrollment outcomes. She frequently contributes insights on SEO, analytics, and strategy to national audiences and industry publications.
About the 2025 AMA Symposium for the Marketing of Higher Education
For more than 30 years, the Symposium has served as one of the field’s leading events, offering peer-reviewed sessions that inspire collaboration, innovation, and actionable learning. The 2025 Symposium will take place November 9–12, 2025, in National Harbor, Maryland, helping institutions refine their strategies, strengthen their reputations, and drive meaningful impact.
Why This Conversation Matters
As generative AI continues to influence how students research, compare, and decide on programs, institutions must adapt their content strategies accordingly. Optimizing for AI search in higher education means focusing on recognition, structure, and authority, not just visibility.
Paula French and Tara Pope’s framework offers higher ed marketers a clear path forward: one grounded in data, built on collaboration, and ready for the AI-driven future of discovery.
Learn More About the Research
Want to explore the trends shaping student search behavior in the age of AI?
The new UPCEA + Search Influence research study, AI Search in Higher Education: How Prospects Search in 2025, reveals how students use AI, search engines, and university websites to make enrollment decisions.
Many universities rely on a PPC agency, but most campaigns aren’t built to connect ad spend directly to student enrollment outcomes.
A strong Google Ads agency should track meaningful conversions, such as inquiries, applications, and campus visits — not just clicks.
Ongoing PPC management, post-launch optimizations, and negative keyword strategies are essential to avoid wasted ad spend.
Transparent reporting, real-time dashboards, and CRM integration should be standard for any higher ed paid advertising campaign.
Search Influence combines PPC advertising with search engine optimization (SEO), delivering a full-funnel strategy tailored to higher education institutions.
Universities invest heavily in paid search and display advertising to reach prospective students. Still, not every PPC agency delivers the transparency and strategy required to connect those campaigns to enrollment outcomes. Too often, agencies measure success in clicks or impressions, failing to show how those digital marketing efforts translate into inquiries, applications, and enrolled students.
This blog provides 15 questions higher education leaders can use to evaluate their current Google Ads agency or PPC marketing company. These questions go beyond surface-level performance metrics and focus on alignment with institutional goals, proper campaign management, and integrating PPC with broader digital marketing strategies.
By setting the right expectations, you’ll quickly see whether your PPC advertising campaigns are optimized for today’s competitive, AI-driven search environment or your budget is stretched thin without producing results.
Questions to Ask Your PPC Agency
1. How do you align PPC campaigns with our enrollment goals?
A PPC agency should align campaigns with university enrollment goals by connecting paid search strategies to inquiries, applications, and enrollments.
In higher education marketing, this means campaigns must be tied directly to the admissions funnel, not just surface-level metrics like clicks or impressions. Campaign management should include keyword research, ad placement, and bid strategy that align with institutional objectives and admissions cycles.
One of the most important measures of this alignment is higher education cost per inquiry (CPI). In our 2024 study created in collaboration with UPCEA, Higher Ed Marketing Metrics Research Report: What Gets Measured Gets Managed, we established the first industry-wide CPI benchmark for professional, continuing, and online (PCO) education, finding an average CPI of about $140. This benchmark gives universities a precise reference point for evaluating whether their campaigns are efficient compared to peers.
We design PPC campaigns around your enrollment goals, prioritizing CPI and cost per enrollment. This ensures that your ad spend drives measurable student recruitment outcomes and aligns with industry best practices.
2. What conversion actions are you tracking?
An effective PPC agency should track conversions tied to student recruitment, including form fills, calls, campus tour sign-ups, and event RSVPs.
Tracking these actions provides actionable insights into whether PPC ads produce conversions that matter. Without accurate conversion tracking, PPC campaigns can’t show how ad spend supports enrollment objectives.
We connect conversion actions directly into CRM systems, tying campaign management to the admissions funnel. By aligning pay-per-click advertising with key performance indicators (KPIs), we help universities measure ROI in ways most PPC agencies overlook.
3. How do you optimize campaigns post-launch?
Strong PPC agencies optimize campaigns after launch by running ongoing A/B tests, refining negative keywords, and adjusting bid strategies to improve performance.
Post-launch optimization includes keyword research, ad copywriting, and monitoring ad groups across platforms like Google Ads, Microsoft Ads, and the Google Display Network. Without continuous updates, PPC costs rise, and wasted ad spend becomes unavoidable.
At Search Influence, we use Google Analytics and other performance tracking tools to refine PPC management services weekly. By monitoring ad placement, web traffic trends, and audience targeting, we keep campaigns efficient and focused on producing qualified student inquiries.
4. What role does AI play in our paid ads strategy?
Modern PPC agencies should use AI to enhance paid search campaigns through smarter bidding, predictive audience targeting, and automated ad creation.
AI can improve bid management and ad placement, but without human oversight, it risks inflating PPC costs and generating irrelevant traffic.
Our approach combines AI-powered campaign management tools with human expertise in higher education marketing. By balancing automation with strategy development, we maximize ad spend efficiency, reduce wasted ad spend, and ensure PPC ads produce conversions tied to business goals.
5. How do you integrate SEO and paid ads?
A strong PPC agency should integrate paid ads with SEO to maximize visibility on search engines and strengthen digital marketing strategies.
At Search Influence, we unify PPC marketing with SEO services to deliver a comprehensive digital marketing plan. By aligning paid and organic strategies, universities gain a competitive advantage, capture more web traffic, and improve online success across online platforms.
6. Can you show us real-time performance dashboards?
A transparent PPC agency should provide real-time dashboards integrating Google Ads, GA4, and CRM data.
These dashboards allow higher ed leaders to monitor campaign management without waiting for monthly reports, ensuring ad management aligns with enrollment goals.
We create custom dashboards highlighting cost per inquiry, campaign performance, and other key performance indicators. These tools give universities immediate visibility into PPC performance and help them quickly adjust their digital marketing efforts.
7. How do you feed PPC data into our CRM?
Effective PPC agencies should integrate PPC data into CRM systems to connect clicks with inquiries, applications, and enrollments.
Without CRM integration, pay-per-click advertising cannot be tied to real ROI, making campaign management incomplete.
We connect PPC advertising directly into admissions CRMs, enabling universities to attribute web traffic and inquiries to specific ad groups, platforms, and campaign strategies. This level of integration provides actionable insights for optimizing PPC budget allocations.
8. What certifications does your team hold?
Certified PPC experts should manage higher education campaigns with credentials in Google Ads, Google Analytics, and Meta platforms.
Certifications prove technical expertise, but higher ed experience ensures that knowledge translates to enrollment outcomes.
Our PPC experts hold platform certifications and apply them directly to higher education campaigns. We deliver PPC management services that outperform generalist marketing agencies by combining industry expertise with advanced platform knowledge.
9. How do you ensure our budget is spent efficiently?
A reliable PPC agency should maximize budget efficiency through negative keyword strategies, pacing adjustments, and cross-channel ROI tracking.
Inefficient campaign management leads to wasted ad spend, inflated management fees, and poor alignment with business objectives.
Our team focuses on reducing PPC costs by lowering the cost per qualified inquiry. We monitor bid strategy across Google Ads and programmatic advertising to ensure ad spend is optimized across online platforms. This approach helps universities avoid wasted ad spend while boosting enrollment ROI.
10. What reporting cadence and metrics do you provide?
A PPC agency should report on enrollment-focused metrics such as inquiries, applications, cost per lead (CPL), and cost per enrollment (CPA).
Reporting should include actionable insights, not just clicks and impressions, to show how PPC advertising supports student recruitment.
We provide monthly and quarterly reporting built around the KPIs that matter most in higher education. Our reporting connects paid search and paid media performance directly to student recruitment goals, ensuring transparent and accountable campaign management.
11. How do you handle audience targeting for higher ed?
Higher education PPC agencies should use precise audience targeting strategies, including geo-targeting, demographic segmentation, and program-specific ad groups.
Effective ad management also requires compliance with platform policies while reaching students most likely to apply.
Our campaign management uses advanced audience targeting techniques across social media marketing, search engine marketing, and remarketing campaigns. With years of higher ed experience, we ensure ad placement reaches qualified students while staying compliant with advertising regulations.
12. What’s your approach to ad creative and testing?
A strong PPC agency should continually test ad creative to improve engagement and drive conversions.
This includes responsive search ads, video ads, ad copywriting, and programmatic advertising designed to boost inquiries. Campaigns should evolve with student behavior to maintain a competitive advantage.
We run ongoing ad creation and testing cycles, using actionable insights from ad platforms like Google Ads, YouTube ads, and social media advertising. This process ensures PPC ads produce conversions and align with student search intent.
13. How do you stay ahead of AI and platform updates?
PPC agencies should proactively adapt to AI advancements and ad platform updates to maintain effective campaign management.
Search engines and online platforms frequently roll out updates that affect ad placement, bid strategy, and audience targeting.
Search Influence monitors how AI affects paid ads in real time, adjusting strategy development across Google Ads, search, and social media platforms. This proactive approach keeps universities ahead of competitors and prevents wasted ad spend.
14. How do you prove campaign ROI to university leadership?
A PPC agency should prove ROI by tying PPC campaigns to student enrollment outcomes through clear attribution.
Reporting must connect ad spend to inquiries, applications, and seats filled, providing leaders with actionable insights.
We create enrollment-focused ROI reports highlighting cost per inquiry and enrollment. By connecting PPC performance to business goals, we make it easy for university leadership to see the value of their paid advertising campaigns.
15. What’s your experience with higher education institutions?
PPC agencies with higher education experience can better manage enrollment seasonality, compliance, and admissions cycles than generalist agencies.
Higher ed campaigns are complex and require specialized knowledge in paid advertising, remarketing campaigns, and digital marketing strategies.
Search Influence is a higher ed marketing agency with years of experience managing PPC campaigns for universities. Our industry expertise helps institutions boost sales of their academic programs, allocate PPC budgets strategically, and achieve online success through comprehensive digital marketing.
Solve Your Higher Ed Marketing Puzzle With SEO and Paid Digital Ads
SEO and paid ads together improve student recruitment results. Universities that integrate search engine optimization with PPC advertising maximize their limited budgets and create a consistent presence across online platforms.
Our white paper demonstrates how SEO and paid ads work hand-in-hand to:
Capture students actively searching for programs
Maximize limited budgets through smarter campaign management
Deliver real-time outcomes that can be optimized mid-campaign
Drive action at every stage of the admissions funnel
Attribute the source of your most valuable prospects
Prove ROI with measurable results tied to enrollment
Ready to See If Your PPC Agency Measures Up?
If these 15 questions leave you uncertain about your current campaigns, you may not be getting the most from your ad budget. Most PPC agencies focus narrowly on clicks or impressions, but universities need a partner that understands how digital marketing strategies drive enrollment.
Search Influence blends AI-driven paid search with proven SEO strategies, offering universities a strategic partner for campaign management that reduces wasted ad spend and increases inquiries.
Download the white paper today to see how SEO and paid ads work hand-in-hand to drive measurable impact for universities.
Search Influence continues to advance the conversation around AI SEO on a global scale.
This fall, CEO and Co-Founder Will Scott represented the agency at two of Europe’s most respected industry events, SEOktoberfest G50 Summit in Austria and SMX Advanced Europe in Berlin, sharing insights on how artificial intelligence is reshaping search, content, and visibility.
Bringing AI SEO Expertise to the Global Stage
At SEOktoberfest, an invite-only event limited to just 50 of the top SEO professionals globally, Will joined peers from leading organizations, including Google, Yoast, and Faber Company, to explore the next generation of AI search and generative engine optimization (GEO).
The gathering fosters open discussion among industry pioneers, offering a rare opportunity to exchange forward-thinking strategies about how artificial intelligence is redefining visibility and authority in search.
Will’s participation highlights Search Influence’s position among agencies advancing the real-world application of AI SEO — ensuring clients benefit from strategies informed by direct collaboration with the industry’s brightest minds.
Advancing AI SEO Strategy at SMX Advanced Europe
Following SEOktoberfest, Will spoke at SMX Advanced Europe 2025 in Berlin, delivering the session “AI Tools for Creation, Deployment & Tracking.” The two-day event is known for fast-paced, expert-level presentations designed for experienced search professionals who want to deepen their technical and strategic knowledge.
In his session, Will shared actionable approaches for integrating AI SEO tools into marketing workflows. His presentation emphasized how agencies and in-house teams can harness AI to enhance creativity, streamline execution, and measure success more effectively.
These insights are part of Search Influence’s ongoing commitment to helping brands adapt to a rapidly changing search environment — where visibility depends on mastering traditional SEO fundamentals and emerging AI search capabilities.
Continuing the Conversation on AI Search
Will’s European appearances build on a growing list of speaking engagements, including SMX Advanced Boston, SMX Online Masterclasses, Local U, and Pubcon, where he has helped marketers understand and apply AI SEO. His expertise continues to position Search Influence at the intersection of AI innovation and strategic SEO, helping clients thrive in a marketplace transformed by generative search.
Maximize Your Success With Proven Industry Experts
At Search Influence, we don’t just talk about online growth. We engineer it.
Our team combines deep industry knowledge with cutting-edge AI SEO strategies to help clients in higher education, healthcare, hospitality, and more rise above the competition.
Every strategy we craft is backed by data, driven by results, and designed to unlock your full potential.
Nontraditional programs are driving enrollment growth. These offerings now provide working adults and lifelong learners with accessible routes to advance their skills and careers.
Your real competition isn’t just other universities. Private bootcamps, online platforms, and credentialing providers are dominating search results and targeting the same students you are.
High-intent traffic requires high-intent content. Prospective students aren’t always searching for institutions. They’re searching for outcomes, credentials, and career alignment. Your web pages must reflect those priorities to convert.
Visibility in search starts with proper SEO. Content must be structured, helpful, and authoritative to appear in traditional search engines, Google’s AI Overviews, ChatGPT, and other generative tools.
The future of higher education isn’t confined to traditional four-year degrees. Certificates, bootcamps, and microcredentials have increasingly become pathways for career switchers, adult learners, and professionals who need quick, targeted upskilling.
But high demand alone doesn’t guarantee enrollment.
Universities now compete not just with peers but with corporate training providers, digital learning platforms, and alternative credentialing organizations. And with AI-driven search like Google’s AI Overviews and ChatGPT shaping how people find information online, visibility determines who wins attention and who gets overlooked.
Prioritizing search engine optimization (SEO) ensures your programs surface in traditional search results and AI-generated answers, giving your institution the edge it needs.
Not sure where to start? This higher education SEO checklist outlines essential steps to capture visibility and convert interest into enrollment.
Why Nontraditional Programs Are Surging
More adults are returning to education
A growing number of learners today are 25 and older, many of them balancing work, family, and other responsibilities. To them, educational convenience is non-negotiable. These students are drawn to programs that offer flexibility, affordability, and credentials that directly support career advancement.
That’s why online, hybrid, and evening/weekend formats continue to gain traction. These formats allow adult learners to continue working and managing daily responsibilities while investing in their future, without the need to pause their lives.
Employers need rapid reskilling
Workforce disruptions and rapid technological change are creating urgent skill gaps across nearly every industry. In response, employers are embracing skills-based hiring, prioritizing specific competencies over traditional degrees.
This shift has elevated the credibility of certificates, microcredentials, and bootcamps. Programs that align with industry-recognized certifications (ex: project management, cloud computing, continuing education in healthcare) help learners meet employer expectations and compete in fast-moving job markets.
Learners want faster ROI
Many students today are motivated by outcomes they can act on quickly — a promotion, a licensure renewal, or a career pivot. Nontraditional programs offer a shorter, more focused timeline that aligns with these goals.
Most last weeks or months rather than years, and they clearly map to real-world results. For busy professionals weighing the cost of time and tuition, programs with defined outcomes and immediate career relevance offer a much stronger return on investment than traditional long-term degree tracks.
Why SEO Matters for Nontraditional Programs
Different search behavior requires different SEO
Prospective students for nontraditional programs often search differently than traditional undergrads. Their queries focus on outcomes, credentials, and convenience, not necessarily institutions.
Terms like “online certificate in digital marketing”, “CEU courses for teachers in Florida”, or “best coding boot camps near me” reflect a clear intent to act.
If your program pages aren’t built to match these kinds of searches, you’ll miss the opportunity to connect with the very students your programs are built for. SEO makes those connections possible by aligning your content with how and what people are actually searching for.
Competition extends beyond universities
More and more top-ranking results for nontraditional programs don’t come from universities. Instead, they come from private bootcamps, online platforms, and credentialing providers that build SEO directly into their business models. Companies like Coursera and Udemy publish detailed, optimized pages for nearly every course and often outrank universities on the same terms.
These providers are targeting the same prospective students, using content that speaks directly to their goals and matches exactly how they search. Without a focused SEO strategy, even the strongest university programs can be overlooked.
Search is evolving with AI
Prospective students no longer look for answers solely on search engine results pages. AI-driven tools like Google’s AI Overviews, ChatGPT, Gemini, and Perplexity reshape how information surfaces and which sources get visibility.
These platforms favor content that’s clearly structured, built around recognizable entities, and written with authority. Pages that anticipate common questions and offer well-organized details are far more likely to be referenced or cited in AI-generated responses.
To compete in this environment, nontraditional program content must be optimized for traditional rankings and conversational discovery. That means thinking beyond just keywords and writing for how both humans and machines understand relevance.
Higher Education SEO Checklist for Nontraditional Programs
Step 1: Understand the nontraditional searcher
Before shaping any SEO strategy, start by understanding who you’re targeting. Nontraditional students often have very different motivations and decision-making processes than traditional undergrads, and those differences shape how they search.
Most are working adults with specific goals in mind. They’re focused on outcomes, timelines, and credentials, not student life or campus culture. Your content and keyword strategy should reflect that.
Keep these traits in mind as you develop your SEO approach:
They want programs that support career advancement, a pivot into a new field, or the renewal of a professional license.
They tend to move quickly with shorter enrollment cycles and a strong need for fast, measurable ROI.
They prioritize flexibility, often searching for online, part-time, or evening/weekend options that fit into full schedules.
They search with intent, using job titles, certifications, or credential-specific queries.
When you build content that speaks directly to these priorities, search engines understand the relevance, and potential students see the value immediately.
Step 2: Target high-intent keywords and long-tail queries
To attract qualified leads, your keyword strategy must reflect how prospective students search. Generic degree terms like “business program” or “computer science major” won’t surface certificate or bootcamp content, and they can cannibalize SEO for your other academic programs.
Instead, build keyword sets around:
Program type + skill + career outcome (e.g., “online UX certificate for working adults”)
Conversational queries aligned with voice search and AI (e.g., fastest cybersecurity certificate with job placement)
Be sure to group keywords by intent (exploratory vs. ready-to-enroll) and format (certificate, bootcamp, CEU, etc.). Then map those keywords to optimized landing pages that speak directly to each audience segment. You can use Google Search Console and other free keyword research tools to track performance and identify gaps in your content strategy.
Step 3: Optimize dedicated program pages
Every nontraditional program should live on its own page, not be buried under a general “Continuing Education” tab or lumped into a degree overview. When each certificate, bootcamp, or CEU has a dedicated, well-structured page, users, search engines, and AI platforms can find what they’re looking for faster.
Strong program pages answer real questions and guide prospective students toward the next step. They should include:
A clear program overview, including what it is and who it’s for
Timeline and start dates
Admission criteria, tuition, and any financial aid details
A list of courses or skills taught
The outcome: what students can do or qualify for after completion
Make sure the page is easy to scan. Use clear headings, bullet points, and internal links that help users move between related content.
And yes, it should load fast, work on mobile, and follow accessibility best practices. Search engines notice when a page respects users’ time.
Step 4: Build a content cluster for each program
Your program page shouldn’t stand alone. Develop a content cluster around each nontraditional program to build authority and improve search visibility. This strategy helps search engines understand the depth and relevance of your content and gives prospective students multiple entry points to engage.
Start with the program page as your pillar. Then support it with content that speaks to different aspects of the student decision-making process, like:
Blog posts answering common questions (e.g., “How long does it take to complete a UX certificate?”)
Faculty perspectives on industry trends and credential relevance
Interlink this content back to the pillar page to establish topical authority. A well-structured cluster signals relevance to search engines and helps students explore without hitting dead ends.
Step 5: Build enrollment-stage resources that support decision-making
Beyond discoverability, prospective students need tools to evaluate your programs and decide whether to apply. These enrollment-stage resources address common concerns, support advisor conversations, and give learners the confidence to move forward.
Create assets like:
Downloadable program guides with curriculum, cost, timelines, and FAQs
Credential comparisons (certificate vs. degree, CEU vs. bootcamp, etc.)
Career outlook PDFs mapping skills to job titles and salary ranges
Webinar slides or follow-up one-pagers for info sessions
Once created, make these resources easy to find and repurpose:
Feature them on LinkedIn and program pages
Share via email campaigns and lead nurture flows
Use them in admissions conversations and webinars
These tools help students compare options and understand outcomes, and they provide additional SEO value when hosted and linked properly.
Step 6: Use strategic calls to action (CTAs)
Once your program pages and supporting content are optimized, guide visitors toward the next step with CTAs that reflect their stage in the decision-making process. A generic “Learn More” or “Apply Now” won’t always cut it, especially for prospective students browsing during a break between shifts or researching late at night after putting kids to bed.
Your CTAs should match the user’s intent and readiness:
Early-stage learners are gathering information. Use CTAs like:
“Download the Certificate Guide,” “Explore the Curriculum,” or “What Can I Do With This Credential?”
Mid-funnel users are comparing programs. Guide them to:
“Sign Up for a Live Info Session,” “See Career Outcomes,” or “Compare Certificate and Degree Options.”
High-intent students are ready to take action. Prioritize:
“Register for the Next Session,” “Start Your Application,” or “Speak With an Enrollment Coach.”
Make each CTA specific and time-sensitive. Embed them in multiple places: the top of the program page, within FAQ sections, after testimonials, and in blog content.
Step 7: Leverage multimedia for SEO impact
Multimedia isn’t just decorative. It’s a core part of your higher education SEO and conversion strategy. Videos, audio snippets, and visuals like infographics give prospective students more ways to connect with your program, and they can also be featured in AI-generated responses (especially YouTube videos).
Start with the program page. Add:
Faculty introductions explaining course content or how the program connects to industry needs
Alumni testimonials sharing what they gained, where they work now, and how quickly they saw a return on their investment
Short videos explaining the format (e.g., how a weekend-only bootcamp works) or answering FAQs
Upload any videos to YouTube with optimized titles, descriptions, and tags. Then, organize them into playlists grouped by category, like “Healthcare Certificates,” “Business Microcredentials,” or “IT Bootcamps.” These playlists become assets you can embed across pages, emails, and social posts.
Always include captions and transcripts for accessibility and indexing. Pages with embedded, captioned video can help with higher time-on-page and reduced bounce rates.
Step 8: Prioritize technical SEO and user experience
You can have the most relevant content on the web, but if your site is slow, confusing, or inaccessible, it won’t matter. Technical SEO ensures your content performs well across devices and platforms, while a thoughtful user experience keeps prospective students engaged.
Start with a mobile-first design. Nontraditional learners often research on the go — between meetings, during commutes, or late at night on their phones. Make sure all program pages are responsive, load fast, and avoid unnecessary pop-ups or clutter.
Run regular audits to assess:
Page speed using Core Web Vitals (especially Largest Contentful Paint and Cumulative Layout Shift)
Broken links and redirect loops
Schema markup to support AI and rich results
Navigation clarity, especially for programs not housed under “Degrees”
Adhere to accessibility best practices like alt text for images, proper heading structure, keyboard navigation, and ARIA labels. This benefits all users while improving search engine visibility.
Step 9: Track the right KPIs with UTMs and event tracking
For fast-moving programs like bootcamps and CEUs, you can’t wait six months to evaluate performance. Use an analytics infrastructure that tracks behavior in real time and ties specific campaigns to measurable outcomes.
Start by defining clear KPIs that go beyond keyword rankings, such as:
Program brochure downloads
Webinar registrations
Inquiry form submissions
Applications/registrations started or completed
Set up UTM parameters on every paid, organic, and email campaign. These tags help you segment traffic by source and determine what’s actually driving engagement in your SEO efforts.
Use event tracking (via Google Tag Manager or another tool) to monitor:
Clicks on CTAs
Video views
Form submissions and dropdown interactions
Time on page for high-converting content
With a consistent and comprehensive approach to analytics tracking, you’ll quickly see which programs have strong momentum and which need refinement.
Step 10: Build authority and citations
Search engines have long used backlinks to evaluate trust, but AI platforms are increasingly relying on citations (mentions of your institution in trusted spaces) to determine authority. While links still carry weight, visibility in Google’s AI Overviews, ChatGPT, and Perplexity often depends more on who references you, not just where you’re linked.
To build citation-worthy authority:
Publish faculty insights in trade publications, industry blogs, or local news outlets
Collaborate with employers or associations to be named in workforce training directories
Secure alumni coverage in media stories, awards lists, or “Where Are They Now?” features
Submit your programs to credible rankings or curated resource lists (e.g., “Best Data Analytics Bootcamps”)
Strengthen internal linking between programs and thought-leadership pages to reinforce topical relevance
Each citation builds trust, not just with humans, but with AI engines scanning the web for reliable answers to user queries.
Nontraditional Program SEO Checklist FAQs
Is SEO still relevant today?
Yes. SEO is essential for online visibility, especially in higher education, where competition is growing. Even as AI tools reshape search behavior, traditional search engines remain a major discovery channel for prospective students. SEO ensures your programs rank for relevant keywords, appear in AI-generated results, and meet the expectations of search engines and users alike.
How does AI search change SEO for higher education?
AI search favors structured, authoritative content that directly answers questions. Platforms like AI Overviews and ChatGPT look for well-organized pages, strong citations, and recognizable entities to inform their responses. This means the most effective SEO strategy must go beyond keywords, prioritizing AI SEO fundamentals like semantic relevance, entity-rich content, and citation-building to stay visible in both AI and traditional search.
How is SEO different for nontraditional programs?
Nontraditional students search with different goals and intent, so SEO must reflect that. They often use career- or credential-focused queries like “online project management certificate” instead of institutional brand names. Optimizing for these long-tail, high-intent searches and providing fast, mobile-friendly, easy-to-navigate pages helps you reach this audience effectively.
Does page speed affect SEO?
Yes. Slow loading times negatively impact search rankings and user experience. Google’s Core Web Vitals prioritize fast, stable performance across devices, especially mobile. For higher ed sites serving adult learners on the go, optimizing load speed and reducing layout shift can improve both visibility and conversion.
What content works best for nontraditional program SEO?
Detailed, outcome-driven content performs best for nontraditional programs. Pages should clearly explain the program’s purpose, who it’s for, what it costs, and what students can do after completing it. Supporting assets like alumni stories, FAQs, and videos boost engagement and help your pages surface in AI-generated answers.
How do I measure SEO success?
Measure SEO success by tracking both visibility and conversions. Look at keyword rankings, organic traffic, and AI citations, but also monitor form fills, brochure downloads, and webinar signups. Tools like Google Search Console, Google Analytics (with UTM tags and event tracking), and Scrunch AI offer the full picture of what’s working and what needs refinement.
Build Smarter SEO Strategies for Nontraditional Programs
Search is the front door to your programs, and today, that door opens in more places than ever. From Google’s AI Overviews to voice assistants and generative platforms, visibility depends on how well your content performs across both traditional and AI-powered search.
SEO isn’t just a checkbox. It’s your edge in a competitive market.
The higher education SEO checklist above gives you the foundation. The next step? Putting it into action.
